Search Results for author: Harsh Kumar

Found 6 papers, 1 papers with code

Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception

no code implementations13 Oct 2023 Harsh Kumar, Ilya Musabirov, Mohi Reza, Jiakai Shi, Xinyuan Wang, Joseph Jay Williams, Anastasia Kuzminykh, Michael Liut

Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited.

Chatbot

Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization

no code implementations15 Dec 2021 Tong Li, Jacob Nogas, Haochen Song, Harsh Kumar, Audrey Durand, Anna Rafferty, Nina Deliu, Sofia S. Villar, Joseph J. Williams

TS-PostDiff takes a Bayesian approach to mixing TS and Uniform Random (UR): the probability a participant is assigned using UR allocation is the posterior probability that the difference between two arms is 'small' (below a certain threshold), allowing for more UR exploration when there is little or no reward to be gained.

Thompson Sampling

Is Shapley Explanation for a model unique?

no code implementations23 Nov 2021 Harsh Kumar, Jithu Chandran

Our assessment is that Shapley value for particular feature not only depends on its expected mean but on other moments as well such as variance and there are disagreements for baseline prediction, disagreements for signs and most important feature for different outcomes such as probability, log odds, and binary decision generated using same linear probability model (logit/probit).

Feature Importance

Optimizing Oil and Gas Acquisitions Using Recommender Systems

no code implementations7 Oct 2021 Harsh Kumar, Geneva Allison, Jehil Mehta, Jesse Pisel, Michael Pyrcz

We train a Factorization Machine model on oil and gas well data that includes features such as elevation, total depth, and location.

Decision Making Recommendation Systems

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